Xinlei Miao

30 total papers · 510 total citations
19 papers, 274 citations indexed

About

Xinlei Miao is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xinlei Miao has authored 19 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xinlei Miao's work include Liver Disease Diagnosis and Treatment (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Cardiovascular Health and Disease Prevention (4 papers). Xinlei Miao is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Cardiovascular Health and Disease Prevention (4 papers). Xinlei Miao collaborates with scholars based in China and Australia. Xinlei Miao's co-authors include Xia Li, Xiuhua Guo, Lixin Tao, Zhiyuan Wu, Jinqi Wang, Wei Wang, Xiangtong Liu, Zhiwei Li, Ze‐Guang Han and Yue Liu and has published in prestigious journals such as The Lancet, Scientific Reports and BMC Medicine.

In The Last Decade

Xinlei Miao

18 papers receiving 274 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xinlei Miao 138 135 80 55 42 19 274
Mohan T Shenoy 83 0.6× 100 0.7× 71 0.9× 45 0.8× 32 0.8× 15 262
Cancan Cui 99 0.7× 144 1.1× 122 1.5× 25 0.5× 50 1.2× 18 287
Yongkang Su 134 1.0× 94 0.7× 70 0.9× 33 0.6× 47 1.1× 18 279
E. Andrikou 134 1.0× 97 0.7× 37 0.5× 45 0.8× 34 0.8× 24 274
Huilei Zhao 152 1.1× 136 1.0× 88 1.1× 45 0.8× 31 0.7× 16 328
Rihua Huang 147 1.1× 84 0.6× 55 0.7× 40 0.7× 43 1.0× 24 244
Lu Zhai 84 0.6× 125 0.9× 80 1.0× 41 0.7× 63 1.5× 22 281
Geng Liu 119 0.9× 133 1.0× 76 0.9× 48 0.9× 21 0.5× 16 237
Amir Taraben 195 1.4× 48 0.4× 50 0.6× 39 0.7× 52 1.2× 15 324
Fang Yong 94 0.7× 98 0.7× 99 1.2× 44 0.8× 19 0.5× 19 259

Countries citing papers authored by Xinlei Miao

Since Specialization
Citations

This map shows the geographic impact of Xinlei Miao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xinlei Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinlei Miao more than expected).

Fields of papers citing papers by Xinlei Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinlei Miao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xinlei Miao. The network helps show where Xinlei Miao may publish in the future.

Co-authorship network of co-authors of Xinlei Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Xinlei Miao. A scholar is included among the top collaborators of Xinlei Miao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinlei Miao. Xinlei Miao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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